Intelligent systems that work, are useful, and make economic sense.

We are an academic lab that studies theory, algorithms, and applications of Artificial Intelligence, Machine Learning, and Robotics. We are part of the School of Computer Science at Carnegie Mellon University. By constantly exposing our work to application domain specific constraints and challenges that occur in the real world, we identify gaps in the science of AI and our fundamental research focuses on developing new methods to improve the application of AI in practice.


Areas where we are making an impact:


Alumni

Alumni


Autonians go on to do a lot of great things, from academia, to industry, to government.

COVID Dashboard

COVID Dashboard


Auton Lab helps Allegheny Health Department forecast COVID outbreaks from measurements of virus loads in wastewater samples.

Enhanced Radiological Nuclear Inspection and Evaluation

Enhanced Radiological Nuclear Inspection and Evaluation


Using machine learning to confidently adjudicate threatening and benign radiation signatures.

Food Safety

Food Safety


Work with USDA and the CDC to monitor outbreak of food-borne illness across the US

Health Care & Public Health

Health Care & Public Health


Research at the intersection of medicine and machine learning. The Auton Lab works closely with clinicians to identify opportunities for AI and ML to make an impact in medical practice and clinical research. Lab history of impact in healthcare applications goes back decades. Our lab aims to lead the field towards deploying AI in ways that are clinically relevant and help save lives.

Industry

Industry


Principals at Auton Lab are partners with industrial research groups.

Counter Human Trafficking

Counter Human Trafficking


Matching entites across escort advertisements to disrupt human trafficking rings and rescue the victims of trafficking.

AI x Natural Sciences & Knowledge Discovery

AI x Natural Sciences & Knowledge Discovery


How can we immerse AI solutions in well-established fields of science and engineering to benefit them from the promise of AI? Automation can increase throughput and efficiency of processing vast amounts of data that informs scientific thinking. Assisted discovery can accelerate the scientific process. Among many interesting challenges that occur at the intersection of AI and fundamental sciences is the need to bridge the gap between data-driven policy and empirical science. Natural sciences evolve as our collective understanding of the universe increases, therefore it is important to ensure that AI can leverage this ever-increasing knowledge. We wish for it to be able to absorb it in its native declarative form while still being able to corroborate and contextualize these fundamental concepts using the currently prevalent AI process of learning from data.

Robotics & Autonomous Vehicles

Robotics & Autonomous Vehicles


Auton Lab research on robotics systems spans perception, cognition, and actuation. Current application domains for robotics research include autonomous trama care robots as well as autonomous vehicles.

Safety & Security

Safety & Security


Our projects in this application area represent a variety of critical contexts for artificial intelligence and machine learning that are collaborations with industrial and government sponsors at the local, state, and federal level. In addition to deploying intelligent systems, part of the work in this context is defining ways to modernize existing processes to produce data that is AI-ready.

Start-ups

Start-ups


Concepts developed at Auton Lab spin off into successful startups

Time-series Intelligence

Time-series Intelligence


We frequently encounter time dependent, sequential data of observations prior to an event of interest. The structure of this data can vary wildly, from structured but haphazardly sampled observations, high frequency, multivariate sensor data, or video data. We are interested in using this data to predict future events, detect anomalies, quantify risks, and explain anomalies.


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